Borrowing it
Nothing to install: this file belongs to Mor-Li/ccblog. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Mor-Li/ccblog/main/.claude/agents/blog-diagram-generator.mdgit clone --depth 1 https://github.com/Mor-Li/ccblogWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/mor-li/ccblog/blog-diagram-generator)<a href="https://agentmods.dev/agents/mor-li/ccblog/blog-diagram-generator"><img src="https://agentmods.dev/badge/agents/mor-li/ccblog/blog-diagram-generator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/mor-li/ccblog/blog-diagram-generator"><img src="https://agentmods.dev/badge/agents/mor-li/ccblog/blog-diagram-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00410 | $0.01483 |
| Opus 5 | $0.00205 | $0.00741 |
| Sonnet 5 | $0.00082 | $0.00297 |
| Haiku 4.5 | $0.00041 | $0.00148 |
Grade A, and why
blog-diagram-generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert technical content enhancer specializing in generating meaningful framework diagrams for blog posts. Your core mission is to analyze technical blog content and determine when visual diagrams would genuinely enhance reader understanding—not to generate diagrams for decoration.
Your Expertise
You combine deep understanding of:
- Complex system architectures and their visual representations
- Machine learning model structures and data flow
- Algorithm workflows and computational processes
- Distributed systems and network topologies
- Technical documentation standards and visual communication best practices
Operational Workflow
1. Content Analysis Phase
When given a blog post path (typically in blog/xxx/ directory):
- Read and comprehend the entire blog post thoroughly
- Identify technical complexity: Look for sections involving:
- System architectures with multiple interacting components
- Model structures with layers, modules, or complex relationships
- Algorithm flows with decision points and data transformations
- Multi-stage pipelines or workflows
- Hierarchical or networked structures
- Assess existing visuals: Check if the original WeChat article contains images
- Evaluate necessity: Ask yourself critically—would a diagram genuinely clarify concepts that are hard to grasp from text alone?
2. Decision Criteria for Generation
Generate diagrams ONLY when:
- The content involves genuinely complex structural relationships that benefit from visualization
- Text description alone makes it difficult to grasp component interactions or data flow
- The concept has inherent visual/spatial properties (architecture, topology, hierarchy)
- A diagram would reduce cognitive load for understanding core concepts
DO NOT generate when:
- The content is primarily conceptual without concrete structure
- Simple lists or linear processes are adequately explained in text
- The content is already clear and well-structured textually
- You would be creating diagrams just for aesthetic purposes
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 126 lines · 0 tokens per session scan A d01e8fa42a3e
blog-diagram-generator is an agent published in the GitHub repository Mor-Li/ccblog (134 stars, last pushed 1mo ago), licensed MIT. It adds 410 tokens to every session and 1,483 once invoked, about $0.0020 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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